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Ferragut F, Cruz KM, Gallardo JP, Fernández M, Hernández Vasquez Y, Gómez KA. Activation-induced marker assays for identification of Trypanosoma cruzi-specific CD4 or CD8 T cells in chronic Chagas disease patients. Immunology 2022; 169:185-203. [PMID: 36567491 DOI: 10.1111/imm.13622] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 12/20/2022] [Indexed: 12/27/2022] Open
Abstract
Antigen-specific T cells are central to the adaptive immune response against T. cruzi infection and underpin the efficacy of on-going vaccine strategies. In this context, the present study focuses on T-cell assays that define the parasite-specificity on the basis of upregulation of TCR stimulation-induced surface markers. For this purpose, we tested different dual marker combinations (OX40, CD25, CD40L, CD137, CD69, PD-L1, CD11a, CD49d, HLA-DR, CD38) to reliably identify activated CD4+ and CD8+ T-cell populations from PBMCs of chronic Chagas disease (CCD) patients after 12 or 24 h of stimulation with T. cruzi lysate. Results demonstrated that activation-induced markers (AIM) assays combining the expression of OX40, CD25, CD40L, CD137, CD69 and/or PD-L1 surface markers are efficient at detecting T. cruzi-specific CD4+ T cells in CCD patients, in comparison to non-infected donors, after both stimulation times. For CD8+ T cells, only PD-L1/OX40 after 24 h of antigen exposure resulted to be useful to track a parasite-specific response. We also demonstrated that the agnostic activation is mediated by different T. cruzi strains, such as Dm28c, CL Brener or Sylvio. Additionally, we successfully used this approach to identify the phenotype of activated T lymphocytes based on the expression of CD45RA and CCR7. Overall, our results show that different combinations of AIM markers represent an effective and simple tool for the detection of T. cruzi-specific CD4+ and CD8+ T cells.
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Affiliation(s)
- Fátima Ferragut
- Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres" (INGEBI-CONICET), Ciudad Autónoma de Buenos Aires, Argentina
| | - Karen M Cruz
- Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres" (INGEBI-CONICET), Ciudad Autónoma de Buenos Aires, Argentina
| | - Juan P Gallardo
- Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres" (INGEBI-CONICET), Ciudad Autónoma de Buenos Aires, Argentina
| | - Marisa Fernández
- Instituto Nacional de Parasitología 'Dr. Mario Fatala Chabén' (INP-ANLIS), Ciudad Autónoma de Buenos Aires, Argentina
| | - Yolanda Hernández Vasquez
- Instituto Nacional de Parasitología 'Dr. Mario Fatala Chabén' (INP-ANLIS), Ciudad Autónoma de Buenos Aires, Argentina
| | - Karina A Gómez
- Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres" (INGEBI-CONICET), Ciudad Autónoma de Buenos Aires, Argentina
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Angelani CR, Carabias P, Cruz KM, Delfino JM, de Sautu M, Espelt MV, Ferreira-Gomes MS, Gómez GE, Mangialavori IC, Manzi M, Pignataro MF, Saffioti NA, Salvatierra Fréchou DM, Santos J, Schwarzbaum PJ. A metabolic control analysis approach to introduce the study of systems in biochemistry: the glycolytic pathway in the red blood cell. Biochem Mol Biol Educ 2018; 46:502-515. [PMID: 30281891 DOI: 10.1002/bmb.21139] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 06/05/2018] [Indexed: 06/08/2023]
Abstract
Metabolic control analysis (MCA) is a promising approach in biochemistry aimed at understanding processes in a quantitative fashion. Here the contribution of enzymes and transporters to the control of a given pathway flux and metabolite concentrations is determined and expressed quantitatively by means of numerical coefficients. Metabolic flux can be influenced by a wide variety of modulators acting on one or more metabolic steps along the pathway. We describe a laboratory exercise to study metabolic regulation of human erythrocytes (RBCs). Within the framework of MCA, students use these cells to determine the sensitivity of the glycolytic flux to two inhibitors (iodoacetic acid: IA, and iodoacetamide: IAA) known to act on the enzyme glyceraldehyde-3-phosphate-dehydrogenase. Glycolytic flux was estimated by determining the concentration of extracellular lactate, the end product of RBC glycolysis. A low-cost colorimetric assay was implemented, that takes advantage of the straightforward quantification of the absorbance signal from the photographic image of the multi-well plate taken with a standard digital camera. Students estimate flux response coefficients for each inhibitor by fitting an empirical function to the experimental data, followed by analytical derivation of this function. IA and IAA exhibit qualitatively different patterns, which are thoroughly analyzed in terms of the physicochemical properties influencing their action on the target enzyme. IA causes highest glycolytic flux inhibition at lower concentration than IAA. This work illustrates the feasibility of using the MCA approach to study key variables of a simple metabolic system, in the context of an upper level biochemistry course. © 2018 International Union of Biochemistry and Molecular Biology, 46(5):502-515, 2018.
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Affiliation(s)
- Carla R Angelani
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Pablo Carabias
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Karen M Cruz
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - José M Delfino
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Marilina de Sautu
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - María V Espelt
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Mariela S Ferreira-Gomes
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Gabriela E Gómez
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Irene C Mangialavori
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Malena Manzi
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - María F Pignataro
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Nicolás A Saffioti
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Damiana M Salvatierra Fréchou
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Javier Santos
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
| | - Pablo J Schwarzbaum
- Departamento de Química Biológica and Institute of Biochemistry and Biophysics (IQUIFIB, UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD, Buenos Aires, Argentina
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